{"id":"https://openalex.org/W3132374371","doi":"https://doi.org/10.1109/igarss39084.2020.9323258","title":"A Method for Improving the Accuracy of the Moderate Resolution LAI Product Based on the Mixed-Pixel Clumping Index","display_name":"A Method for Improving the Accuracy of the Moderate Resolution LAI Product Based on the Mixed-Pixel Clumping Index","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3132374371","doi":"https://doi.org/10.1109/igarss39084.2020.9323258","mag":"3132374371"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084781000","display_name":"Yadong Dong","orcid":"https://orcid.org/0000-0002-1257-9449"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yadong Dong","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Aerospace Information Research Institute, Chinese Academy of Sciences and Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Aerospace Information Research Institute, Chinese Academy of Sciences and Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112559416","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-9736-5732"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Aerospace Information Research Institute, Chinese Academy of Sciences and Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Aerospace Information Research Institute, Chinese Academy of Sciences and Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004770935","display_name":"Ziti Jiao","orcid":"https://orcid.org/0000-0002-3701-0830"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziti Jiao","raw_affiliation_strings":["Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Beijing Normal University, Faculty of Geographical Science, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Beijing Normal University, Faculty of Geographical Science, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018009227","display_name":"Qinhuo Liu","orcid":"https://orcid.org/0000-0002-3713-9511"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinhuo Liu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112357426","display_name":"Jing Zhao","orcid":"https://orcid.org/0000-0001-7221-3556"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Aerospace Information Research Institute, Chinese Academy of Sciences and Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Aerospace Information Research Institute, Chinese Academy of Sciences and Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941","https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015337558","display_name":"Hu Zhang","orcid":"https://orcid.org/0000-0003-2874-9219"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Zhang","raw_affiliation_strings":["College of Urban and Environmental Sciences, Tianjin Normal University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Urban and Environmental Sciences, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5084781000"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I25254941","https://openalex.org/I4210137199","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14547806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4303","last_page":"4306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.8813554048538208},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7044066190719604},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6923038363456726},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6720584630966187},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6067096590995789},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.49947524070739746},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.4647466540336609},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.42015740275382996},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.418912798166275},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.4114309251308441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35797467827796936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2964135408401489},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.19519272446632385},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.15323412418365479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10032430291175842},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09521663188934326},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.06248477101325989},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.05991506576538086}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.8813554048538208},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7044066190719604},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6923038363456726},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6720584630966187},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6067096590995789},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.49947524070739746},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.4647466540336609},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.42015740275382996},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.418912798166275},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.4114309251308441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35797467827796936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2964135408401489},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.19519272446632385},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.15323412418365479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10032430291175842},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09521663188934326},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.06248477101325989},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.05991506576538086},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1870109369","display_name":null,"funder_award_id":"41801237,41671374,41871265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4761761132","display_name":null,"funder_award_id":"2017YFA0603001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W61452412","https://openalex.org/W2011746637","https://openalex.org/W2153243519","https://openalex.org/W2160794506","https://openalex.org/W2768023762","https://openalex.org/W2792077377","https://openalex.org/W2794103799","https://openalex.org/W2887665617","https://openalex.org/W2905511257","https://openalex.org/W2919320332"],"related_works":["https://openalex.org/W2377212262","https://openalex.org/W4327748155","https://openalex.org/W2955967599","https://openalex.org/W2549050738","https://openalex.org/W4387208895","https://openalex.org/W1594879216","https://openalex.org/W2388815296","https://openalex.org/W2386212941","https://openalex.org/W2615806692","https://openalex.org/W2080965330"],"abstract_inverted_index":{"The":[0,93,128],"Leaf":[1],"Area":[2],"Index":[3],"(LAI)":[4],"is":[5,14],"a":[6,15,67,76,145],"key":[7],"structure":[8],"parameter":[9],"of":[10,34,51,59,82,126,135],"plant":[11],"canopy":[12],"and":[13,31,140,149],"basic":[16],"input":[17],"variable":[18],"in":[19,39,48,123,154],"various":[20],"terrestrial":[21],"ecological":[22],"models.":[23],"Previous":[24],"studies":[25],"indicate":[26],"that":[27,109],"the":[28,32,40,49,57,80,89,97,104,110,114,121,133,152,156],"spatial":[29,60,124,141],"heterogeneity":[30,61,125,142],"mixture":[33],"different":[35],"land":[36,137],"cover":[37,138],"types":[38,139],"moderate":[41,52,83,158],"resolution":[42,53,84,159],"pixels":[43],"will":[44],"cause":[45],"large":[46],"errors":[47],"retrieval":[50],"LAI":[54,85,111,160],"product.":[55],"Therefore,":[56],"influence":[58,134],"should":[62],"be":[63],"corrected":[64],"to":[65,78,102,143],"retrieve":[66],"more":[68,146],"reasonable":[69,147],"LAI.":[70],"In":[71],"this":[72],"study,":[73],"we":[74],"propose":[75],"method":[77,130],"improve":[79],"accuracy":[81],"retrievals":[86],"based":[87],"on":[88],"mixed-pixel":[90],"clumping":[91],"index.":[92],"data":[94],"simulated":[95],"by":[96,113],"LESS":[98],"model":[99],"are":[100],"used":[101],"validate":[103],"proposed":[105,129],"method.":[106],"Results":[107],"show":[108],"estimated":[112],"MODIS":[115],"operational":[116],"algorithm":[117],"become":[118],"smaller":[119],"with":[120,162],"increase":[122],"pixel.":[127],"can":[131],"correct":[132],"mixed":[136],"obtain":[144],"LAI,":[148],"thus":[150],"shows":[151],"potential":[153],"generating":[155],"global":[157],"product":[161],"improved":[163],"accuracy.":[164]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}